Abstract: Objective To explore the epidemiological characteristics of poisoning cases in Qingpu District of Shanghai City, and to provide a scientific basis for the prevention and control of poisoning within the jurisdiction. Methods A retrospective collection was conducted to gather the information on 3,415 poisoning cases admitted to sentinel hospitals from 2018 to 2024. Statistical descriptions were performed regarding the causes of poisoning, types of poisons, gender and age distribution, and temporal distribution. Chi-square tests were used to analyze differences between groups. Results Males accounted for 64.30% of the poisoning cases, with the age concentrated in the 20-39 group (51.27%). The top three causes of poisoning were alcohol abuse (61.00%), suicide (15.20%), and accidental ingestion (9.93%). The distribution differences in various poisoning causes by gender and age groups were statistically significant (P< 0.001). Among cases aged 10 years old and below, the main causes of poisoning were accidents/disasters and accidental ingestion; among cases aged 20 to 69 years old, alcohol abuse was the primary cause; among cases aged 11 to 19 years old and 70 years old and above, suicide was the primary cause of poisoning. Poison classifications included alcohol (61.41%), drugs (21.93%), pesticides or rodenticides (6.21%), toxic gases or liquids (5.68%), and toxic animals (3.95%). The distribution of poison types differed significantly by gender (χ²=714.8, P < 0.001); males were primarily poisoned by alcohol (78.32%), while females were primarily poisoned by drugs (45.53%). Poisoning occurred most frequently in January, July, and August. Alcohol poisoning peaked in January; pesticide or rodenticide poisoning peaked in June-July; toxic gas or liquid poisoning (CO accounted for 69.59%) peaked in December and January; toxic animal poisoning (bee stings accounted for 97.78%) peaked from June to August. There were 8 deaths among the poisoning cases, with a mortality rate of 0.23%. Conclusion The situation of poisoning in this district is relatively severe. Prevention and control measures targeting the characteristics of poisoning in different populations and the distinct peak periods should be implemented to reduce the incidence of poisoning in the district.